PhD in Statistics

Mode of study
Flexible

Duration
3 Years (Statistics background), 4 Years (Non-statistics background)

Campus
East Legon

Local Fees
GH₵ 20,700.00

International Fees
GH₵ 22,080.00

Entry year
2024-2025

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The Doctor of Philosophy in Statistics is a highly esteemed academic degree programme, offering advanced studies in the field of statistics. This comprehensive programme provides an in-depth curriculum that ensures students develop a profound understanding of statistical theories, methodologies, and techniques. Pursuing a Doctor of Philosophy in Statistics allows individuals to engage in rigorous research, contribute to the advancement of statistical knowledge, and make significant contributions to their respective fields.

The programme typically includes coursework, seminars, and independent research projects, fostering the development of critical thinking, problem-solving, and analytical skills. Given the increasing demand for professionals with expertise in statistics, obtaining a Doctor of Philosophy in Statistics opens up a multitude of career opportunities across various sectors, including academia, government, industry, and research organizations.

Graduates of this programme are equipped with the necessary skills and knowledge to tackle complex statistical problems, analyze data, and provide valuable insights for informed decision-making processes.

In summary, a Doctor of Philosophy in Statistics is a prestigious and intellectually stimulating programme, offering individuals the opportunity to become leading experts in the field of statistics and contribute significantly to the advancement of statistical knowledge.

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Course Objectives

Technical Competence in Computer Science

One of the key benefits of pursuing a BSc Computer Science with Management degree is the solid foundation in computer science it provides. From programming languages to algorithms, database management to software development, you will gain a comprehensive understanding of the technical aspects of computer science. These skills will enable you to design and develop software systems, analyze complex data sets, and tackle real-world computational problems

Business Acumen and Management Skills

In addition to in-depth technical knowledge, this degree program equips you with essential business acumen and management skills. You will learn about organizational behavior, strategic management, project management, and entrepreneurship. This unique combination of computer science and management will make you well-rounded and better prepared to take on leadership roles in the tech industry.

Entry Requirements

This course creates a platform for an advanced financial education and you will explore a systematized flow and management of money and assets. Banking and Finance affords you an endless career options as you acquire expert knowledge, skill-set and requisite fundamentals of the financial world.

Master's Degree Holders 

Candidates with research Masters, (i.e., MSc/MPhil who have conducted one full year research) in Statistics, Actuarial Science, Mathematics or related quantitative discipline, can be admitted directly into the PhD programme.

 

 

Non-Research Master's Degree Holders

Exception is given to non-research Master’s degree holders with the technical background, having CGPA of 3.5 or better, grade C or better in Research Methods. Such exceptional candidates can be admitted directly into the PhD programme.

Other Master's Degree Holders

Candidates with non-mathematical/statistical master's degree such as  Economics, Sociology, Health, Agriculture, Geography etc. would be admitted into the doctorial degree for four years. The first year would be a preparatory programme and the subsequent 3 years for research. Only Candidates with a B or CGPA of 3.0 or better will be admitted into the Preparatory programme. 

Academic Modules

The PhD Statistics Programme is primarily a research-based post-graduate programme. The programme has a 3-year duration (maximum 4 years) during which the student will be generating new knowledge and considering that new information in relation to existing information. The programme interprets the term “statistics” very broadly and permits specialization in probability, statistical theory and analysis, biostatistics, and interdisciplinary areas of application. Qualified students would typically have a strong background in mathematics. The student is expected to carry out a programme of research under the supervision of a primary supervisor and one or more co-supervisors. The programme offers opportunities for PhD research in several areas of statistics including:

  1. Pure Statistics
  2. Data Science
  3. Applied Statistics
  4. Bayesian Statistics
  5. Statistical Theory and Applied Probability

 

PhD Preparatory Year

The first year consists of taught courses in three trimesters, followed by three years of research. The total minimum number of credits for this preparatory year is 36 with each trimester carrying 12 credits. Admission to the programme is a good second degree in non-mathematical disciplines and candidates must meet the GS requirements (e.g. CGPA of 3.5) for progression from Preparatory Year to Year 1.

Upon registering and selecting your research topic, you'll be assigned a renowned faculty member as your supervisor. This expert in the field will be your go-to resource throughout the program, providing:

  • Personalized guidance on choosing an original and feasible research project
  • Invaluable advice on all aspects of your research and thesis preparation
  • Ongoing support throughout your PhD journey

Within the first month, you'll collaborate with your supervisor to create a personalized training plan. This plan will consider your:

  • Current non-academic responsibilities
  • Specific research interests and project focus
  • Future career aspirations

By tailoring your training, we ensure you develop the essential skills and knowledge necessary for success in your chosen field.

During your first semester, you'll complete a non-credit course in Research Methodology and Data Analysis. This essential course equips you with the foundational skills needed to conduct rigorous research and analyze complex data effectively.

Dominion University College's PhD in Statistics programme offers a supportive and empowering environment for aspiring statisticians.

The second year of your PhD in Statistics programme at Dominion University College is dedicated to solidifying your research foundation and establishing yourself within the academic community.

Key activities during this year include:

  • Consolidating your research: You'll meticulously analyze the work completed in the first year, gaining a deeper understanding of your chosen research area.
  • Generating initial results: Your research will start yielding preliminary findings and outcomes that will form the basis of your final thesis.
  • Presenting your work: You'll have the opportunity to present your developing research during the second-year seminar. This platform allows you to refine your communication skills and receive valuable feedback from peers and faculty.
  • Networking and knowledge exchange: Attend and present at conferences and research events. These gatherings offer exceptional opportunities to:
    • Connect with researchers and professionals from diverse backgrounds at national and international levels.
    • Stay updated on the latest advancements in your chosen field of study.
  • Sharpening communication skills: We strongly encourage participation in relevant seminars. These sessions provide valuable experience in:
    • Effectively presenting complex ideas to diverse audiences.
    • Receiving constructive feedback to further enhance your research and communication skills.
    • Identifying potential future research directions based on insights gained from these interactions.

By the end of year two, you'll be expected to submit a paper for publication in a scientific journal or presentation at a reputable conference. This requirement further strengthens your research skills, hones your communication abilities, and prepares you for the final stages of your PhD journey.

Dominion University College's PhD programme fosters an environment of active learning, research exploration, and professional development. We equip you with the tools and opportunities to become a successful and well-rounded researcher in the field of statistics.

The third year of your PhD in Statistics at Dominion University College signifies the culmination of your research endeavors and the demonstration of your intellectual contribution.

Key milestones in this year include:

  • Thesis development: You'll focus on completing your thesis, a comprehensive document of up to 80,000 words detailing your research journey, methodology, and original contribution to knowledge in the field of statistics.
  • Thesis submission and examination: Upon completion, your thesis will be submitted for examination at the end of the third year. This formal evaluation process ensures the quality and originality of your research.
  • Viva examination: Following the thesis examination, you'll participate in a viva voce, an oral examination where you'll defend your research and answer questions posed by a panel of experts.

Throughout your PhD journey at Dominion University College, you'll benefit from:

  • Comprehensive skills training: We offer a diverse programme of workshops and training sessions designed to equip you with the essential research, writing, and communication skills necessary for academic success.
  • Professional development opportunities: We actively encourage ongoing interaction with your supervisor who will provide invaluable guidance and support in navigating the research process and staying at the forefront of the field.
  • Knowledge transfer and innovation: Our programme fosters an environment of continuous learning and knowledge exchange to ensure you stay abreast of the latest advancements in teaching, learning, and research methodologies.

By successfully completing your thesis and viva examination, you'll not only earn your PhD in Statistics but also gain valuable research and professional skills that will propel you towards a successful career in your chosen field.

Dominion University College is committed to empowering you to become a leading researcher and a valuable contributor to the ever-evolving field of statistics.

Career Prospects

Some potential career paths for our PhD in statistics degree graduates include:

• Data Scientist

• Statistical Consultant

• Researcher

• Quantitative Analyst

• Biostatistician

• Professor/ Academician

• Financial Mathematician

• Business Consultant

• Statistician

• Data Analyst and many more

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Career Prospects

Some potential career paths for our PhD in statistics degree graduates include:

• Data Scientist

• Statistical Consultant

• Researcher

• Quantitative Analyst

• Biostatistician

• Professor/ Academician

• Financial Mathematician

• Business Consultant

• Statistician

• Data Analyst and many more

Why choose PhD in Statistics

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Tuition costs

Explore detailed information about our tuition costs and payment options. We are committed to providing a transparent and affordable education for all our students.

Domestic fees

4-month semesters

Year 1 Semester Fees
20,700.00
(12 credit minimum)

Year 2 Semester Fees
18,120.00
(12 credit minimum)

Year 3 Semester Fees
18,120.00
(12 credit minimum)

Year 4 Semester Fees
NULL
(12 credit minimum)

  • Total
  • $21,490

International fees

4-month semesters

Year 1 Semester Fees
22,080.00
(12 credit minimum)

Year 2 Semester Fees
19,320.00
(12 credit minimum)

Year 3 Semester Fees
19,320.00
(12 credit minimum)

Year 4 Semester Fees
NULL
(12 credit minimum)

  • Total
  • $21,490
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